Real-time Digital Banking Fraud Detection: Part One

In this webinar, Guardian Analytics Fraud experts will describe the most common method and point of compromise and explain how Guardian Analytics' machine learning and behavioral analytics patented technology can help you combat Digital Banking Fraud.

With Guardian Analytics Fraud Analytics, financial institutions can create a digital & payments customer segmentation. Digital and transactional behavioral data can provide clues as to how to personalize banking products and services to each segment while behavioral fraud analytics provides the right data for risk analytics. In this webinar, you will learn how to build a digital & payment behavioral customer segmentation using data extracted from Guardian Analytics Machine Learning & Behavioral Fraud Detection solution.

AML systems generate a high proportion of false positives, often surpassing 80 or 90% of alerts, resulting in soaring compliance costs at large banks and operational bottlenecks at most institutions. Implementing next-generation technologies including cloud-based intelligent automation and machine learning will increase efficiency and improve efficacy in AML operation for many banks and credit unions.

De-Risking Customer Onboarding is a challenge, current legacy tools are inflexible leading to very long onboarding time and a lot of tedious manual processes. Guardian Analytics modern AML CDD/EDD and Alloy real-time identity verification bring leading-edge technologies to:

Fraud follows speed. Faster payments leave no time for manual review of transactions and no room for high false positives. Learn how machine learning based fraud detection can mitigate fraud in real-time with low false positives, ensure positive customer experiences, and transform fraud operations from loss-recovery to loss-prevention.

Here are some key challenges:
• A user can have multiple IP address depending on their home router, office proxy, traveling hotspot location…
• Should you detect suspicious Online and Mobile events?
• Should you detect the subsequent suspicious money transfer activities resulting from suspicious Online and Mobile events?
• Do both?
• Should you block an IP address coming from an infected device?

Guardian Analytics Fraud Analytics provides a single place where Fraud Managers and Business Intelligence users can collaborate on Alert, Case Risk Analytics combined with User Activity and Location Analytics cross Payment Channels.
This webinar will showcase how easy it is to interact with powerful dashboards built with your favorite office productivity tools. We will do a walk-thru of the following features:
-Alert & Case Analytics Operational KPIs
-Activity Analytics Dashboard
-Location Analytics Dashboard
-User Account Fraud Intelligence Dashboard

With the new FinCEN CDD rule in effect as of May 11th, 2018, financial institutions must now to identify and verify the identity of the beneficial owners of legal entity customers who own, control, and profit from companies, when those companies open accounts. This webinar will describe the impact of new rule and explain the different ways to comply with FinCEN's ruling, including how to define, collect, and monitor beneficial ownership accounts.

Guardian Analytics and Aite Research Group will describe the different types of real-time payments in digital banking from online bill pay to emerging P2P payments and explain why machine learning and behavioral analytics are needed to prevent fraud in real-time

Payroll hacks are common and they are difficult for banks to detect and prevent. From Business Email Compromise (BEC) to Payee Edit Fraud, fraudsters do not create new batch or transaction but rather modify the recipient number of an existing ACH batch. According to ACFE survey it takes almost 2 years to detect a payroll fraud. With Guardian Analytics machine learning and behavioral analytics fraud detection you can detect ACH fraud on payroll systems as they come and trigger real-time intervention to hold or reject suspicious ACH payroll transactions.

This webinar is part one of the Wire Webinar Series. We will be discussing how you can leverage Guardian Analytics behavior-based, real-time wire fraud detection solution to monitor all activities and transactions for each account holder allowing you to build a profile of each user’s typical behavior. Tracked activities include hundreds of elements from payment amounts, wire originators and recipients, plus online login, session duration, sequence of activities during each session.

In this webinar, Guardian Analytics AML experts will demonstrate how automation will optimize the evidence collection in a single source of truth and how a point and click modern UI will ease the investigation process and streamline the case narratives by documenting the relevant evidence for automatic e-filing.

In this webinar, Eric Tran-Le and Matthew Rosen will describe:
- How modern money laundering rings are using virtual currencies, such as Bitcoin.
- How the "AML Evidence Lake™ Platform" detects "Bitcoin" usage from multiple suspicious account holders
- How hidden financial patterns emerge from cross-institution secure data sharing under Section 314(b)
- How analysts can proactively communicate and exchange information with counterparties through Fintel's network.

About the Speakers:
Matthew Rosen, former founding Deputy Director of Mayor Bloomberg’s Financial Crime Task Force and Manhattan Assistant District Attorney, and now Chief Executive Officer and Founder of Fintel.

Eric Tran-Le, Head of Product Management at Guardian Analytics. He has over 20 years of experience in Product Management and led Cloud Security Analytics at Oracle.

In this webinar, Guardian Analytics Fraud experts will describe the most common method and point of compromise and explain how Guardian Analytics' machine learning and behavioral analytics patented technology can help you combat Digital Banking Fraud.

In this webinar, Guardian Analytics Fraud experts will describe Same Day ACH BEC fraud scheme and explain how Guardian Analytics' machine learning and behavioral analytics patented technology can help you combat ACH social engineered fraud scheme.

The Same Day ACH Fraud detection is part of a four-part ACH webinar series that includes:
- ACH Kiting Fraud
- ACH Small Transactions Fraud
- ACH Payroll Fraud
- Same Day ACH BEC Fraud

With banks worldwide running proofs of concept for a number of use cases based on blockchain technology. It has become a question of when, not if, many of these initiatives will move into the production stage.

Now is a good time to consider what the expected adoption of blockchain and cryptocurrencies are likely to mean for fraud in banking and commerce.

Attend the webinar to learn:
-How banks and businesses are adopting distributed ledger technologies (DLT)
-What fraud and financial crime implications are created by the use of DLT
-What tools will be required in the future to mitigate DLT-related fraud

Join Star One Credit Union, a financial institution with more than $9B in assets, as they discuss how they leverage their Guardian Analytics financial crime prevention platform to detect anomalies and suspicious activity in their online, mobile, and payments channels.

In this webinar Margarete Mucker, EVP of Operations from Star One Credit Union, shares what her organization is doing to protect their members from fraud.

Although the recent Equifax breach that reportedly compromised 143 million accounts has sent consumers scrambling to protect their assets, financial institutions and corporations are likely to feel the impending effects of this attack as well.

It is predicted there will be a surge in social engineering and BEC scams, as the hackers now have a wealth of information needed to impersonate individuals and corporate entities in a variety of contexts. However, the right strategic approach and technology solutions can effectively mitigate the fraud risk.

In this webinar, guest speaker Andras Cser, VP, Principal Analyst in Security & Risk from Forrester Research, provides an expert industry perspective and discuss what financial institutions and corporations can do to protect themselves. You will gain insight into how organizations are raising their defenses, understand the best practices to minimize fraud loss, and learn how advanced analytics solutions can help minimize the risk.

Watch this on-demand video to learn how machine learning and behavioral analytics are essential components to fight fraud in the 21st century.

1. How machine learning and behavioral analytics work
2. Why modern fraud attacks are no match for a behavioral analytics approach
3. How companies can use behavioral analytics to reduce fraud, scale operations, and ensure compliance
4. What Webster Bank has done to combat attempted fraud

We are the pioneer and leading provider of behavioral analytics and machine learning solutions for fraud detection and anti-money laundering software for financial institutions and enterprise organizations.